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77
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ICCV
2009
IEEE
16 years 2 months ago
Is Dual Linear Self-Calibration Artificially Ambiguous?
This purely theoretical work investigates the problem of artificial singularities in camera self-calibration. Selfcalibration allows one to upgrade a projective reconstruction t...
Pierre Gurdjos, Adrien Bartoli, Peter Sturm
PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
15 years 3 months ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
Dimitris Achlioptas
90
Voted
ECCV
2010
Springer
15 years 2 days ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
ECML
2006
Springer
15 years 1 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
CORR
2006
Springer
76views Education» more  CORR 2006»
14 years 9 months ago
Complexity Constrained Noise-Free CDMA: Optimal Power Distribution and Spectral Efficiency
The issue of multiuser cooperation in a complexity constrained noise-free CDMA channel is addressed. Multiuser cooperation is imperative if conventional demodulation is expected to...
Rodrigo de Miguel, Ralf R. Müller